Search Results - "Jiexian Zeng"

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  1. 1

    Inception Convolution and Feature Fusion for Person Search by Ouyang, Huan, Zeng, Jiexian, Leng, Lu

    Published in Sensors (Basel, Switzerland) (10-02-2023)
    “…With the rapid advancement of deep learning theory and hardware device computing capacity, computer vision tasks, such as object detection and instance…”
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    Journal Article
  2. 2

    Curvature Bag of Words Model for Shape Recognition by Zeng, Jiexian, Liu, Min, Fu, Xiang, Gu, Ruiyu, Leng, Lu

    Published in IEEE access (2019)
    “…The object shape recognition of nonrigid transformations and local deformations is a difficult problem. In this paper, a shape recognition algorithm based on…”
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    Journal Article
  3. 3

    ReFPN-FCOS: One-Stage Object Detection for Feature Learning and Accurate Localization by Zeng, Jiexian, Xiong, Jiale, Fu, Xiang, Leng, Lu

    Published in IEEE access (2020)
    “…One-stage object detectors are simple and efficient; however, they cannot extract sufficient object features due to simplistic structures. At the same time,…”
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    Journal Article
  4. 4

    Multi-scale YOLACT for instance segmentation by Zeng, Jiexian, Ouyang, Huan, Liu, Min, Leng, LU, Fu, Xiang

    “…The mainstream instance segmentation is a comprehensive computer vision task, which involves computer vision tasks such as image classification, object…”
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    Journal Article
  5. 5

    Feature Learning Improved by Location Guidance and Supervision for Object Detection by Li, Bingying, Xiong, Jiale, Fu, Xiang, Zeng, Jiexian, Leng, Lu

    Published in IEEE access (2021)
    “…In recent years, the single-stage detectors have been developed rapidly; however, compared with the multi-stage detectors, their detection precision is still…”
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    Journal Article
  6. 6

    Straight line matching method based on line pairs and feature points by Jiexian Zeng, Liqin Zhan, Xiang Fu, Binbin Wang

    Published in IET computer vision (01-08-2016)
    “…Straight line matching is a fundamental task in many applications such as scene matching, stereo vision and sequence images analysis. As individual line…”
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    Journal Article
  7. 7

    Multiscale Distance Coherence Vector Algorithm for Content-Based Image Retrieval by Jiexian, Zeng, Yu, F., Xiupeng, Liu

    Published in TheScientificWorld (01-01-2014)
    “…Multiscale distance coherence vector algorithm for content-based image retrieval (CBIR) is proposed due to the same descriptor with different shapes and the…”
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    Journal Article
  8. 8

    Algorithm for Image Retrieval Based on Edge Gradient Orientation Statistical Code by Fu, Xiang, Li, Weiye, Zhao, Yonggang, Zeng, Jiexian

    Published in TheScientificWorld (01-01-2014)
    “…Image edge gradient direction not only contains important information of the shape, but also has a simple, lower complexity characteristic. Considering that…”
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    Journal Article
  9. 9

    Image Inpainting Algorithm Based on Saliency Map and Gray Entropy by Zeng, Jiexian, Fu, Xiang, Leng, Lu, Wang, Can

    “…Image inpainting algorithms based on separated priority are easily misled by image texture information, have poor accuracy in searching for matching patches…”
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    Journal Article
  10. 10

    Landslide monitoring based on computer vision technology by Jiexian Zeng, Yonglong Yu, Bo Tian

    “…Landslide is a common geological disaster, which seriously threats people's safety and property. The landslide monitoring has great significance in reducing…”
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    Conference Proceeding
  11. 11

    A Finite Element Mesh Generation Algorithm and Application to Human Head Modeling by Jun Liu, Jiexian Zeng

    “…The finite element method (FEM) geometry modeling of realistic head volume conductor plays an important role in FEM-based EEG/MEG forward and inverse problems…”
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    Conference Proceeding
  12. 12

    The Measurement of Abrasive Wear Based on Computer Vision by Xiaofeng Zhang, Bin Wan, Jiexian Zeng

    “…To measure the height and wear of the diamond abrasive, a new technique based on computer vision is presented in this paper. Firstly, the computer vision…”
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    Conference Proceeding